Segmentation from the same column

[Syndicate_Admin]

Best regards!
I have a problem, I hope you can explain me well and you can help me...
In a table I have a list of people (unique ID code), and a column that identifies travel and travel by codes in the same column.

usercode	Code	group
user1	barco	Vehicle
user1	airplane	Vehicle
user1	Madrid	city
user2	car	Vehicle
user2	texas	city
user3	airplane	Vehicle
user3	Madrid	city
user3	Germany	city

then, I can count the users who have traveled by car, boat, plane, madrid, texas, but I need:
-segment the users who traveled in which vehicle, to which cities they traveled, that is, count "plane" and those users who traveled by plane to which cities they traveled.
-failing that of the city of Madrid how many traveled by boat and how many by plane.

as the data is in the same column because I can not filter them either with IF, or doing SWITCH
mesure boat =

CALCULATE(
COUNT(usercode] record),
registrationtray[code] = "boat"
recordtray[group] = "city"
)
the idea of this is then to make a graph where you put the number of trips per boat and the cities with their respective amount ...

[v-yanjiang-msft · Accepted solution]

Hi @Syndicate_Admin ,

According to your description, here’s my solution.

For example calculating the count of users to Madrid by boat:

1.Create a measure to check the user to Madrid by boat.

Flag =
CALCULATE (
    COUNTROWS ( 'Table' ),
    FILTER (
        ALLEXCEPT ( 'Table', 'Table'[User code] ),
        [Code] = "boat"
            || [Code] = "Madrid"
    )
)

2.Create another measure to count the user to Madrid by boat.

UserCount to Madrid by boat = CALCULATE(DISTINCTCOUNT('Table'[User code]),FILTER('Table',[Flag]=2))

I attach my sample below for reference.

Best Regards,
Community Support Team _ kalyj

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[lbendlin]

Your data is not in a usable format. Transfom it like this

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WKi1OLTJU0lFKSixKzgfSYakZmck5qUqxOgi5xMyigpzEvFQc0r6JKUWZKUBGcmZJJVzGCCSQWIRFD0imJLUisRhdizF+u4xx2gWScU8tyk3Mq4RLxQIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [usercode = _t, Code = _t, group = _t]),
    #"Filter Vehicle" = Table.SelectRows(Source, each ([group] = "Vehicle")),
    #"Filter City" = Table.SelectRows(Source, each ([group] = "city")),
    #"Merged Queries" = Table.NestedJoin(#"Filter Vehicle", {"usercode"}, #"Filter City", {"usercode"}, "Table (2)", JoinKind.FullOuter),
    #"Renamed Columns" = Table.RenameColumns(#"Merged Queries",{{"Code", "Vehicle"}}),
    #"Expanded Table (2)" = Table.ExpandTableColumn(#"Renamed Columns", "Table (2)", {"Code"}, {"Code"}),
    #"Renamed Columns1" = Table.RenameColumns(#"Expanded Table (2)",{{"Code", "City"}}),
    #"Removed Other Columns" = Table.SelectColumns(#"Renamed Columns1",{"usercode", "Vehicle", "City"})
in
    #"Removed Other Columns"

How to use this code: Create a new Blank Query. Click on "Advanced Editor". Replace the code in the window with the code provided here. Click "Done".

Note: Germany is not a city.